Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Philipp Grohs is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 5 Finished
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Hybrid Computational Sciences
Grohs, P., Scherzer, O., Plant, C., Dellago, C., Wöhrer, A., Kunisch, K., Ramlau, R. & von Haeseler, A.
16/08/21 → 31/12/21
Project: Research funding
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Transparent and explainable models
Möller, T., Plant, C. & Grohs, P.
1/10/20 → 30/09/24
Project: Research funding
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Depth and Discriminability in Deep Learning Architectures
Reisenhofer, R. & Grohs, P.
15/10/18 → 14/01/21
Project: Research funding
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Multi-window STFT phase retrieval: lattice uniqueness
Liehr, L., Grohs, P. & Rathmair, M., 15 Sept 2024, (Accepted/In press) In: Journal of Functional Analysis.Publications: Contribution to journal › Article › Peer Reviewed
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Phase retrieval in Fock space and perturbation of Liouville sets
Liehr, L., Grohs, P. & Rathmair, M., 31 Aug 2024, (Accepted/In press) In: Revista Matematica Iberoamericana.Publications: Contribution to journal › Article › Peer Reviewed
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Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces
Grohs, P. & Voigtlaender, F., Aug 2024, p. 1085-1143, 59 p. (Foundations of Computational Mathematics).Publications: Working paper
Open Access
Prizes
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Alexander von Humboldt Professorship Award
Grohs, Philipp (Recipient), 2019
Prize: Prize, award or honor
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Dies Academicus - Universität Wien
Iris Eisenberger (Panellist), Matthias Leichtfried (Panellist), Philipp Grohs (Panellist), Jonas Ries (Panellist) & Paulina Sliwa (Panellist)
12 Mar 2024Activity: Academic events › Participation in ...
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Phase Transitions in Rate Distortion Theory and Deep Learning
Philipp Grohs (Keynote speaker)
5 Dec 2019Activity: Talks and presentations › Talk or oral contribution › Science to Science
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Approximation theory, Numerical Analysis and Deep Learning
Philipp Grohs (Keynote speaker)
11 Oct 2019Activity: Talks and presentations › Talk or oral contribution › Science to Science
Press/Media
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Wiener Forscher nehmen Moleküleigenschaften mittels KI unter die Lupe
23/05/22
1 item of Media coverage
Press/Media: Public Engagement Activities
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Numerically solving parametric PDEs with deep learning to break the curse of dimensionality
20/11/20
1 Media contribution
Press/Media: Public Engagement Activities
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SIAM News article about work on Group Testing
13/07/20
1 item of Media coverage
Press/Media: Public Engagement Activities